点击次数：

影响因子：2.2

发表刊物：Mathematics

摘要：In recent decades, the rapid development of metaheuristic algorithms has outpaced theoretical understanding, with experimental evaluations often overshadowing rigorous analysis. While nature-inspired optimization methods show promise for various applications, their effectiveness is often limited by metaphor-driven design, structural biases, and a lack of sufficient theoretical foundation. This paper systematically examines the challenges in developing robust, generalizable optimization techniques, advocating for a paradigm shift toward modular, transparent frameworks. A comprehensive review of the existing limitations in metaheuristic algorithms is presented, along with actionable strategies to mitigate biases and enhance algorithmic performance. Through emphasis on theoretical rigor, reproducible experimental validation, and open methodological frameworks, this work bridges critical gaps in algorithm design. The findings support adopting scientifically grounded optimization approaches to advance operational applications.

论文类型：期刊论文

论文编号：2158

学科门类：理学

文献类型：J

卷号：13

期号：13

ISSN号：2227-7390

是否译文：否

发表时间：2025-07-01

收录刊物：SCI

第一作者：王嘉宏

合写作者：胡昆,吴晓晶,欧宇枫